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Despite ample research on the adoption of online banking, the post-adoption phase remains largely neglected. The purpose of this paper is to develop a new conceptual model to investigate drivers, attitudes and behaviours in the post-adoption phase of the e-postbox, a co-creative online banking feature.

Research from bank marketing, services marketing, information systems and relationship management informs the proposed post-adoption model. Empirical tests rely on structural equation modelling and a sample of 750 current customers of the e-postbox of a large German bank.

The proposed model provides a multifaceted view of the post-adoption phase, including task-related, organisation-related and interpersonal communication-related drivers. This study reveals the importance of integrating dual interpersonal communication as a post-adoption driver and a post-adoption behaviour. It also extends the technology acceptance model by applying it to the post-adoption phase. Significant effects of age further suggest that younger customers express the most favourable attitudes towards and highest intentions to continue using the e-postbox; interestingly, older customers use it more and share more word-of-mouth.

This paper develops a post-adoption model that highlights the importance of continued usage for successful co-creation between the bank and its customers.

Managers can encourage continued usage during the post-adoption phase of a co-creative, digitalised service, which determines the retention of current customers and opportunities to attain new customers.

This study defines and establishes constructs for the post-adoption phase and categorises them according to post-adoption drivers, attitudes and behaviours.

The purpose of this paper is to examine post‐adoption usage of the internet as a shopping channel. It aims to examine the effects of innovation attributes on post‐adoption shopping behaviours to determine whether factors predicting initial adoption will be effective in predicting post‐adoption. It also aims to examine the links between two usage patterns (purchasing experience product versus search product) and online shopping continuance. The paper also seeks to compare strength of identified links among innovation attributes, online purchase behaviors and online shopping continuance.

An online survey of a national sample of online shoppers identifies online purchase behaviours for search and purchase goods; data are analysed using structural equation modelling to test the proposed model and the hypotheses.

The analysis finds support for the proposed research model and indicates that experience product purchasing has the most salient effect on online shopping continuance. Innovation attributes predicting initial adoption do not play the same roles in post‐adoption usage.

The survey suffered from self‐selection and self‐reporting limitations normally associated with a panel sample.

Post‐adoption actual use behaviour is the most robust predictor of channel‐loyal shopping behaviour; therefore, focusing solely on improving online shoppers' favourable perceptions or positive attitudes toward shopping online might not be an efficient approach.

This research contributes to the marketing literature on consumer innovation diffusion by extending the consumer innovation adoption process to the post‐adoption context.

The purpose of this paper is to solve the challenges in knowledge outcome (e.g. knowledge contribution, knowledge exploration) improvement at the post-adoption phase in the context of e-communities. This study develops a model by integrating dedication-constraint framework and self-presentation theory. The model proposes that knowledge outcomes at the post-adoption phase rely on relationship development between community members, conceptualized as commitment. The authors also hypothesize that members’ perceived online self-presentation quality, theorized as personal control and social influence, serves as the key means to motivate members’ commitment.

This study used survey instrument to collect data and adopted partial least squares to test the proposed hypotheses.

The results show that perceived online self-presentation quality positively affects relationship development, which in turn affects continuance intention for knowledge outcomes.

This study expands the dedication-constraint framework by integrating the self-presentation theory. This study contributes new knowledge by proposing a model that delineates the relationship between online self-presentation quality, relationship development, and knowledge outcomes at the post-adoption stage.

This study shows that members’ perceived online self-presentation quality affects both affective commitment and calculative commitment, which in turn affect knowledge outcomes, suggesting the important role of the perceived quality in stimulating a member’s post-adoption reactions.

This study contributes to the research on post-adoption behavior in an e-community context by accounting for the influence of e-community features in self-presentation quality and dedication-constraint mechanisms on post-adoption phenomena.

This study aims to investigate the influences of loyalty and switching costs toward a firm's overall post-adoption behavior in using information system.

A research model is developed around two constructs found in the literature – loyalty and switching costs – that are most critical in firms' decisions on continued use of the same IS service providing company. It is empirically tested using a survey of IT decision makers in total 102 companies in South Korea. Partial least squares method is used to assess the relationships specified in research model.

The findings suggest that both loyalty and switching costs have positive influences on the continuous intention to use and the inattentiveness of alternatives.

Findings are based on a single point cross-sectional survey. To further investigate the continuance of specific IT service firms, triangulation will be necessary with longitudinal and qualitative data concerning the process of decision-making, including political and contractual situation.

The study fills the research gap in studying post-adoption behavior at the firm level by empirically testing the duality of loyalty and switching costs.

Based on the post-acceptance model of information system continuance (PAMISC), this study investigates the influence of the early-stage users' personal traits (specifically personal innovativeness and technology anxiety) and ex-post instrumentality perceptions (specifically price value, hedonic motivation, compatibility and perceived security) on social diffusion of smart technologies measured by the intention to recommend artificial intelligence-based voice assistant systems (AIVAS) to others.

Survey data from 400 US AIVAS users were collected and analyzed with Statistical Product and Service Solutions (SPSS) 18.0 and the partial least square technique using advanced analysis of composites (ADANCO) 2.1.

AIVAS technology is presently at the early stage of market penetration (about 25% of market penetration in the USA). A survey of AIVAS technology users reveals that personal innovativeness is directly and indirectly (through confirmation and continuance) associated with a stronger intention to recommend the use of the device to others. Confirmation is associated with all four ex-post instrumentality perceptions (hedonic motivation, compatibility, price value and perceived security). Among the four, however, only hedonic motivation and compatibility are significant predictors of satisfaction, which lead to use continuance and, eventually, intention to recommend. Finally, technology anxiety is found to be indirectly (but not directly) associated with a lower intention to recommend.

This is the first study conducted on the early-stage AIVAS users that evaluates the influence of both personal traits and ex-post instrumentality perceptions on users' intention for continuance and recommendation to others.

This study aims to understand the learner behaviour of millennials for Massive Open Online Courses (MOOCs) in the post-adoption stage by extending the theory of Unified Theory of Acceptance and User Technology 2 (UTAUT2) with expectancy confirmation model (ECM) along with personal innovativeness as the exogenous, satisfaction as a mediating and continued intention as an endogenous construct.

This study applied a cross-sectional research design by using a survey method to collect primary data with a structured questionnaire. Convenience sampling was used to collect data from millennial MOOC users, and partial least square structural equation modelling method was applied for data analysis.

The results indicate that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation influence satisfaction. Similarly, performance expectancy, hedonic motivation, personal innovativeness and satisfaction influence the continued intention for MOOCs.

In terms of limitations, the study applied a cross-sectional research design that could lead to data collection bias. Similarly, the study used convenience sampling as the authors did not have access to the participant list of users from MOOC platforms.

The research highlights various insights to all the stakeholders on improving MOOC satisfaction and enhance the continued intention for millennial learners.

The findings of this research bridge this gap by examining the post-adoption usage behaviour of MOOCs by extending the baseline model of UTAUT2 with personal innovativeness and integrating it with ECM.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

The purpose of this paper is to apply expectation-confirmation theory (ECT) and the unified theory of acceptance and use of technology (UTAUT) to identify potential determinants of library patrons’ intention to continue using (continuance) self-issue and return systems for borrowing and returning books. The role of continuance is specifically interesting and is well-established in the literature of information systems (ISs) and marketing because continuance is considered to be the central element for the survival of ISs and of self-service technology (SST). However, the role of continuance has been neglected by researchers studying library SST adoption.

A research model integrating the expectation-confirmation model of IS continuance with UTAUT was developed and empirically validated using data obtained from a field survey involving 128 active users of a self-issue and return system at a public library in Taiwan.

Library patrons’ continuance intention was affected by their post-adoption expectation of perceived performance, effort performance and facilitating conditions as well as their satisfaction when using self-issue and return systems. Moreover, a patron satisfaction level was influenced by performance expectancy and confirmation of initial expectations, whereas confirmation had a positive effect on all post-adoption expectations.

This study broadens perspectives on SST adoption behavior in the library context by identifying some factors that influence library patrons’ continuance decisions. Furthermore, the authors verified the applicability and predictability of the theoretical integration of ECT with UTAUT in a diverse setting because the authors sought survey participants outside of the college population.

The purpose of this paper is to develop and empirically test a model that examines the relationship between post-adoption self-efficacy, satisfaction, and loyalty in the usage of mobile shopping applications.

A structured questionnaire was used to collect data from respondents who had used mobile shopping applications to make purchases. Data analysis was done using partial least square structural equation modelling.

The results show that self-efficacy and satisfaction have a positive impact on continuance intention; however, the same may not lead to advocacy. The results also show that some antecedents of self-efficacy and satisfaction at the post-adoption stage differ from the pre-adoption intention stage.

The findings of the study provide a better understanding of the factors likely to influence loyalty among customers using mobile shopping applications. The findings also provide valuable insights into the factors that e-retailers need to focus to build self-efficacy among their customers using mobile interface.

The contribution of the paper lies in eliciting the differences between customer choice model at the pre-adoption and post-adoption stage for mobile shopping. Furthermore, the study demonstrated the role of a cognitive factor of self-efficacy in loyalty at the post-adoption stage that is pre-dominantly researched with affective factor of satisfaction.

This study aims to understand the expectations of elderly bank customers with mobile banking services and to measure its impact on their long-term satisfaction and continued intention. The study is based on two theories, expectations-confirmation theory (ECT) and hedonic adaptation theory.

A self-administered longitudinal survey was completed with a sample of 208 elder customers who do not use mobile banking services. Latent growth curve modelling approach was used to determine the change in their post-adoption experience over four time points.

Results of the study confirm that the use of mobile banking services prolongs the duration of customer satisfaction and continued intention level, post-adoption, reinforcing the hedonic adaptation theory.

Mobile banking services are going to be a significant component of the multichannel banking agenda. But it might be interesting to review other digital channels of banking services. The key contribution of this study is that it measures the expectation-confirmation link of elderly customers with mobile banking services. The study sheds light on factors that positively influence customer inclination and adoption of multichannel banking services in the long run, which is important for the commercial success of such channels.

The study highlights the importance of elder customers' pre-expectations, related dimensions which are important for post-adoption experiences of mobile banking services to improve customers' satisfaction and continued intention in the long run. This is crucial for the commercial success of banks.

This is the first such study that used the expectation confirmation model (ECT) and related it with hedonic adaptation theory to assess elderly customer's post-adoption satisfaction and continued usage of mobile banking services over time.